Precipitation Nowcasting with Orographic Enhanced Stacked Generalization: Improving Deep Learning Predictions on Extreme Events

Precipitation Nowcasting with Orographic Enhanced Stacked Generalization: Improving Deep Learning Predictions on Extreme Events

One of the most crucial applications of radar-based precipitation nowcasting systems is the short-term forecast of extreme rainfall events such as flash floods and severe thunderstorms. While deep learning nowcasting models have recently shown to provide better overall skill than traditional echo ex...

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Bibliographic Details
Main Authors: Gabriele Franch, Daniele Nerini, Marta Pendesini, Luca Coviello, Giuseppe Jurman, Cesare Furlanello
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Atmosphere
Subjects:
rainfall
nowcasting
deep learning
stacked generalization
convolutional recurrent neural networks
data augmentation
conditional bias
ensemble forecasting
Online Access:https://www.mdpi.com/2073-4433/11/3/267

Internet

https://www.mdpi.com/2073-4433/11/3/267

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